This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0_altwt_thru2024_8e+05_2025-11-02 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.996
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.4

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.05 while 0.95 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	13	1	1	0.322	0.309	0.105	0.614	1.042	0.135	0.096	NSEI
p_pelagic	13	1	2	0.140	0.125	0.036	0.338	1.053	0.079	0.189	NSEI
p_yellow	13	1	1	0.425	0.374	0.122	0.969	1.030	0.222	0.229	NSEI
p_yellow	13	1	2	0.430	0.379	0.136	0.968	1.039	0.219	0.233	NSEI
p_pelagic	13	10	1	0.336	0.318	0.118	0.627	1.051	0.136	0.132	NSEI
p_pelagic	13	10	2	0.146	0.130	0.041	0.345	1.054	0.080	0.199	NSEI
p_yellow	13	10	1	0.426	0.372	0.127	0.966	1.030	0.222	0.243	NSEI
p_yellow	13	10	2	0.428	0.377	0.129	0.971	1.035	0.223	0.229	NSEI
p_pelagic	13	11	1	0.342	0.330	0.120	0.636	1.045	0.134	0.090	NSEI
p_pelagic	13	11	2	0.147	0.130	0.040	0.348	1.043	0.080	0.213	NSEI
p_yellow	13	11	1	0.426	0.376	0.122	0.961	1.033	0.222	0.225	NSEI
p_yellow	13	11	2	0.427	0.378	0.134	0.974	1.031	0.222	0.221	NSEI
p_pelagic	13	12	1	0.345	0.329	0.123	0.636	1.034	0.136	0.117	NSEI
p_pelagic	13	12	2	0.148	0.131	0.040	0.339	1.048	0.080	0.213	NSEI
p_yellow	13	12	1	0.424	0.374	0.130	0.965	1.030	0.219	0.228	NSEI
p_yellow	13	12	2	0.426	0.379	0.121	0.969	1.033	0.221	0.213	NSEI
p_pelagic	13	13	1	0.353	0.345	0.124	0.636	1.033	0.134	0.060	NSEI
p_pelagic	13	13	2	0.149	0.133	0.044	0.354	1.046	0.081	0.198	NSEI
p_yellow	13	13	1	0.427	0.376	0.124	0.964	1.031	0.224	0.228	NSEI
p_yellow	13	13	2	0.431	0.383	0.130	0.970	1.034	0.221	0.217	NSEI
p_pelagic	13	14	1	0.330	0.317	0.128	0.608	1.033	0.124	0.105	NSEI
p_pelagic	13	14	2	0.148	0.132	0.046	0.339	1.040	0.078	0.206	NSEI
p_yellow	13	14	1	0.428	0.372	0.125	0.966	1.028	0.224	0.250	NSEI
p_yellow	13	14	2	0.429	0.379	0.126	0.968	1.030	0.221	0.226	NSEI
p_pelagic	13	15	1	0.305	0.288	0.113	0.581	1.034	0.123	0.138	NSEI
p_pelagic	13	15	2	0.142	0.129	0.044	0.320	1.035	0.073	0.179	NSEI
p_yellow	13	15	1	0.419	0.368	0.127	0.967	1.032	0.223	0.229	NSEI
p_yellow	13	15	2	0.425	0.374	0.125	0.969	1.033	0.221	0.230	NSEI
p_pelagic	13	16	1	0.344	0.331	0.132	0.627	1.027	0.128	0.101	NSEI
p_pelagic	13	16	2	0.154	0.141	0.047	0.337	1.035	0.077	0.169	NSEI
p_yellow	13	16	1	0.424	0.371	0.125	0.964	1.031	0.220	0.241	NSEI
p_yellow	13	16	2	0.428	0.374	0.128	0.969	1.034	0.222	0.243	NSEI
p_pelagic	13	17	1	0.353	0.342	0.146	0.619	1.026	0.122	0.090	NSEI
p_pelagic	13	17	2	0.161	0.147	0.052	0.349	1.026	0.078	0.180	NSEI
p_yellow	13	17	1	0.425	0.369	0.128	0.967	1.028	0.224	0.250	NSEI
p_yellow	13	17	2	0.430	0.376	0.130	0.970	1.031	0.222	0.243	NSEI
p_pelagic	13	18	1	0.362	0.353	0.147	0.617	1.033	0.124	0.073	NSEI
p_pelagic	13	18	2	0.165	0.149	0.053	0.364	1.024	0.080	0.199	NSEI
p_yellow	13	18	1	0.426	0.373	0.129	0.971	1.031	0.222	0.239	NSEI
p_yellow	13	18	2	0.430	0.380	0.124	0.972	1.025	0.222	0.225	NSEI
p_pelagic	13	19	1	0.360	0.349	0.157	0.622	1.022	0.123	0.089	NSEI
p_pelagic	13	19	2	0.166	0.152	0.054	0.356	1.026	0.078	0.178	NSEI
p_yellow	13	19	1	0.426	0.377	0.131	0.968	1.038	0.220	0.223	NSEI
p_yellow	13	19	2	0.428	0.374	0.124	0.968	1.032	0.221	0.245	NSEI
p_pelagic	13	2	1	0.324	0.305	0.108	0.638	1.053	0.139	0.137	NSEI
p_pelagic	13	2	2	0.138	0.120	0.036	0.340	1.061	0.080	0.226	NSEI
p_yellow	13	2	1	0.426	0.372	0.119	0.965	1.028	0.223	0.242	NSEI
p_yellow	13	2	2	0.427	0.379	0.128	0.970	1.033	0.221	0.218	NSEI
p_pelagic	13	20	1	0.372	0.361	0.158	0.625	1.025	0.122	0.090	NSEI
p_pelagic	13	20	2	0.173	0.162	0.058	0.365	1.018	0.079	0.139	NSEI
p_yellow	13	20	1	0.424	0.372	0.123	0.965	1.031	0.220	0.236	NSEI
p_yellow	13	20	2	0.428	0.373	0.128	0.968	1.034	0.218	0.252	NSEI
p_pelagic	13	21	1	0.389	0.380	0.180	0.645	1.019	0.122	0.074	NSEI
p_pelagic	13	21	2	0.183	0.168	0.064	0.377	1.018	0.082	0.183	NSEI
p_yellow	13	21	1	0.428	0.377	0.128	0.966	1.029	0.220	0.232	NSEI
p_yellow	13	21	2	0.427	0.375	0.124	0.968	1.028	0.222	0.234	NSEI
p_yellow	13	22	1	0.421	0.372	0.125	0.966	1.027	0.221	0.222	NSEI
p_yellow	13	22	2	0.431	0.386	0.131	0.969	1.037	0.219	0.206	NSEI
p_yellow	13	23	1	0.388	0.333	0.102	0.956	1.030	0.222	0.248	NSEI
p_yellow	13	23	2	0.480	0.439	0.154	0.977	1.026	0.218	0.188	NSEI
p_yellow	13	24	1	0.397	0.341	0.099	0.958	1.040	0.224	0.250	NSEI
p_yellow	13	24	2	0.473	0.435	0.159	0.975	1.028	0.214	0.177	NSEI
p_yellow	13	25	1	0.394	0.340	0.105	0.962	1.041	0.222	0.243	NSEI
p_yellow	13	25	2	0.471	0.430	0.159	0.972	1.028	0.216	0.190	NSEI
p_yellow	13	26	1	0.388	0.333	0.106	0.963	1.035	0.221	0.248	NSEI
p_yellow	13	26	2	0.476	0.438	0.153	0.972	1.023	0.216	0.176	NSEI
p_yellow	13	27	1	0.374	0.321	0.102	0.954	1.031	0.214	0.247	NSEI
p_yellow	13	27	2	0.468	0.431	0.152	0.972	1.025	0.212	0.175	NSEI
p_yellow	13	28	1	0.388	0.342	0.108	0.950	1.039	0.209	0.220	NSEI
p_yellow	13	28	2	0.468	0.434	0.160	0.969	1.026	0.208	0.163	NSEI
p_yellow	13	29	1	0.361	0.318	0.099	0.903	1.028	0.198	0.217	NSEI
p_yellow	13	29	2	0.459	0.433	0.157	0.942	1.026	0.198	0.131	NSEI
p_pelagic	13	3	1	0.328	0.309	0.110	0.639	1.050	0.139	0.137	NSEI
p_pelagic	13	3	2	0.140	0.122	0.036	0.340	1.039	0.079	0.227	NSEI
p_yellow	13	3	1	0.426	0.371	0.128	0.967	1.037	0.220	0.250	NSEI
p_yellow	13	3	2	0.434	0.380	0.136	0.966	1.029	0.219	0.247	NSEI
p_pelagic	13	4	1	0.328	0.313	0.111	0.633	1.056	0.136	0.110	NSEI
p_pelagic	13	4	2	0.140	0.122	0.036	0.339	1.044	0.080	0.225	NSEI
p_yellow	13	4	1	0.427	0.376	0.126	0.966	1.031	0.223	0.229	NSEI
p_yellow	13	4	2	0.431	0.382	0.125	0.968	1.033	0.220	0.223	NSEI
p_pelagic	13	5	1	0.331	0.314	0.116	0.624	1.051	0.136	0.125	NSEI
p_pelagic	13	5	2	0.143	0.125	0.037	0.344	1.052	0.081	0.221	NSEI
p_yellow	13	5	1	0.425	0.377	0.119	0.966	1.033	0.222	0.216	NSEI
p_yellow	13	5	2	0.430	0.381	0.127	0.969	1.028	0.224	0.219	NSEI
p_pelagic	13	6	1	0.330	0.313	0.109	0.637	1.038	0.139	0.123	NSEI
p_pelagic	13	6	2	0.144	0.127	0.037	0.343	1.048	0.082	0.207	NSEI
p_yellow	13	6	1	0.427	0.374	0.122	0.963	1.036	0.221	0.240	NSEI
p_yellow	13	6	2	0.426	0.377	0.123	0.966	1.030	0.224	0.219	NSEI
p_pelagic	13	7	1	0.335	0.320	0.119	0.629	1.037	0.137	0.109	NSEI
p_pelagic	13	7	2	0.143	0.125	0.038	0.343	1.046	0.080	0.225	NSEI
p_yellow	13	7	1	0.425	0.372	0.122	0.966	1.033	0.221	0.240	NSEI
p_yellow	13	7	2	0.429	0.376	0.126	0.971	1.030	0.224	0.237	NSEI
p_pelagic	13	8	1	0.331	0.317	0.115	0.621	1.044	0.136	0.103	NSEI
p_pelagic	13	8	2	0.146	0.127	0.038	0.354	1.047	0.082	0.232	NSEI
p_yellow	13	8	1	0.425	0.378	0.128	0.967	1.037	0.220	0.213	NSEI
p_yellow	13	8	2	0.429	0.378	0.135	0.969	1.036	0.219	0.233	NSEI
p_pelagic	13	9	1	0.336	0.321	0.115	0.632	1.036	0.137	0.109	NSEI
p_pelagic	13	9	2	0.146	0.127	0.039	0.345	1.044	0.081	0.234	NSEI
p_yellow	13	9	1	0.426	0.369	0.123	0.967	1.033	0.223	0.255	NSEI
p_yellow	13	9	2	0.433	0.381	0.129	0.970	1.027	0.223	0.233	NSEI
p_pelagic	16	1	1	0.375	0.369	0.134	0.665	1.010	0.140	0.043	SSEO
p_pelagic	16	1	2	0.349	0.338	0.125	0.633	1.013	0.134	0.082	SSEO
p_pelagic	16	10	1	0.378	0.369	0.150	0.663	1.013	0.136	0.066	SSEO
p_pelagic	16	10	2	0.355	0.344	0.129	0.633	1.016	0.134	0.082	SSEO
p_pelagic	16	11	1	0.380	0.370	0.147	0.662	1.011	0.135	0.074	SSEO
p_pelagic	16	11	2	0.355	0.344	0.129	0.646	1.018	0.135	0.082	SSEO
p_pelagic	16	12	1	0.379	0.368	0.152	0.649	1.016	0.132	0.083	SSEO
p_pelagic	16	13	2	0.364	0.353	0.135	0.638	1.014	0.132	0.083	SSEO
p_pelagic	16	15	1	0.375	0.367	0.155	0.636	1.011	0.128	0.063	SSEO
p_pelagic	16	2	2	0.352	0.343	0.119	0.634	1.020	0.134	0.067	SSEO
p_pelagic	16	3	1	0.372	0.364	0.137	0.651	1.014	0.135	0.059	SSEO
p_pelagic	16	3	2	0.352	0.343	0.123	0.625	1.013	0.134	0.067	SSEO
p_dsr	16	31	1	0.399	0.398	0.375	0.431	1.270	0.014	0.070	SSEO
p_slope	16	36	1	0.062	0.062	0.044	0.079	1.027	0.008	0.000	SSEO
p_pelagic	16	4	1	0.378	0.371	0.139	0.660	1.014	0.135	0.052	SSEO
p_pelagic	16	4	2	0.352	0.345	0.129	0.634	1.013	0.134	0.052	SSEO
p_pelagic	16	42	1	0.832	0.832	0.826	0.839	1.103	0.003	0.000	SSEO
p_yellow	16	42	1	0.405	0.405	0.383	0.427	1.040	0.011	0.000	SSEO
p_dsr	16	42	1	0.469	0.479	0.411	0.513	3.654	0.030	-0.332	SSEO
p_slope	16	42	1	0.146	0.133	0.106	0.205	4.921	0.031	0.415	SSEO
p_pelagic	16	5	1	0.371	0.364	0.143	0.646	1.012	0.131	0.053	SSEO
p_pelagic	16	5	2	0.354	0.344	0.121	0.631	1.022	0.136	0.074	SSEO
p_pelagic	16	6	1	0.372	0.365	0.137	0.653	1.013	0.136	0.052	SSEO
p_pelagic	16	6	2	0.351	0.342	0.126	0.641	1.012	0.135	0.067	SSEO
p_pelagic	16	7	1	0.377	0.370	0.141	0.662	1.011	0.134	0.052	SSEO
p_pelagic	16	7	2	0.355	0.344	0.123	0.641	1.017	0.134	0.082	SSEO
p_pelagic	16	8	1	0.373	0.364	0.139	0.661	1.010	0.135	0.067	SSEO
p_pelagic	16	8	2	0.354	0.345	0.127	0.638	1.023	0.136	0.066	SSEO
p_pelagic	16	9	1	0.377	0.370	0.144	0.662	1.014	0.135	0.052	SSEO
p_black	8	40	1	0.488	0.418	0.343	0.963	1.135	0.191	0.367	afognak
p_black	8	48	1	0.531	0.492	0.414	0.967	1.024	0.138	0.282	afognak
p_black	9	32	1	0.912	0.942	0.664	0.993	1.011	0.091	-0.330	eastside

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta2_pH	10	1	1.434	0.855	0.320	6.979	1.123	1.762	0.329	northeast
beta0_pelagic	13		-0.833	-0.812	-1.682	-0.001	1.110	0.464	-0.045	NSEI
beta3_pelagic	13		31.843	31.539	24.861	40.019	1.116	4.165	0.073	NSEI
beta3_pH	15	4	41.375	41.277	39.527	43.390	1.216	1.012	0.097	SSEI
beta3_pH	16	4	41.536	41.522	40.923	42.287	1.257	0.368	0.038	SSEO
beta0_dsr	16		0.165	0.164	0.133	0.196	1.150	0.016	0.062	SSEO
mu_beta2_pH	2	1	1.436	0.917	0.205	5.621	1.128	1.710	0.304	NG
beta2_pH	4	1	0.952	0.702	0.184	2.866	1.126	0.733	0.341	PWSO
beta1_pH	6	1	2.078	1.866	1.045	4.236	1.122	0.794	0.267	SOKO2SAP
beta2_pH	6	1	1.185	0.510	0.120	6.945	1.136	1.963	0.344	SOKO2SAP
beta2_pH	9	1	1.179	0.630	0.173	6.278	1.126	1.676	0.328	eastside
lambda_H	10		0.233	0.154	0.023	0.848	1.128	0.447	0.177	northeast

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	538.00	222.00	1,032.00	353.00
Prop. of total	0.71	0.29	0.75	0.25
Prop. median less than 1	0.27	0.22	0.34	0.42
Prop. median less than 10	0.39	0.55	0.55	0.73
Prop. median less than 50	0.51	0.79	0.70	0.82
Median of the median values	45.65	8.03	5.66	1.98
Mean of the median values	549.33	354.99	179.87	121.86
Mean skew of posteriors	0.25	0.29	0.27	0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	7.00	4.00	70.00	36.00
Prop. of total	0.64	0.36	0.66	0.34
Prop. median less than 1	0.43	1.00	0.73	0.69
Prop. median less than 10	0.43	1.00	0.84	1.00
Prop. median less than 50	0.43	1.00	0.91	1.00
Median of the median values	130.65	0.10	0.03	0.09
Mean of the median values	609.22	0.13	33.47	1.05
Mean skew of posteriors	0.25	0.20	0.15	0.16

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_dsr	1
beta0_pelagic	1
beta1_pH	1
beta2_pH	4
beta3_pelagic	1
beta3_pH	2
eps_bl	1
eps_dsr	1
eps_pH	8
eps_sl	2
H_ay	2
H_ayg	1
H_ayu	1
Hb_ay	2
Hb_ayg	1
Hb_ayu	1
Hd_ay	1
Hd_ayg	2
Ho_ay	4
Ho_ayu	4
Hp_ay	2
Hp_ayg	1
Hp_ayu	1
Hs_ay	2
Hs_ayg	2
Hs_ayu	2
Hy_ayu	1
lambda_H	1
mu_beta2_pH	1
p_black	1
p_dsr	2
p_slope	2
pH	14
R_ayg	1
R_ayu	3
Rb_ayg	2
Rd_ay	5
Rd_ayg	6
Rd_ayu	2
re_black	1
re_dsr	2
re_pH	11
re_slope	2
Ro_ay	16
Ro_ayg	11
Ro_ayu	43
Rp_ayg	1
Rs_ay	9
Rs_ayg	13
Rs_ayu	20
Ry_ay	12
Ry_ayg	8
Ry_ayu	26

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.019	0.069	-0.146	-0.022	0.124
mu_bc_H[2]	0.069	0.054	-0.031	0.068	0.180
mu_bc_H[3]	-0.279	0.067	-0.407	-0.280	-0.142
mu_bc_H[4]	-0.922	0.185	-1.286	-0.921	-0.572
mu_bc_H[5]	1.344	1.042	0.129	1.084	3.985
mu_bc_H[6]	-2.375	0.319	-2.983	-2.381	-1.741
mu_bc_H[7]	-0.455	0.101	-0.664	-0.451	-0.267
mu_bc_H[8]	0.253	0.339	-0.307	0.225	1.019
mu_bc_H[9]	-0.245	0.123	-0.489	-0.247	0.004
mu_bc_H[10]	0.059	0.064	-0.060	0.058	0.186
mu_bc_H[11]	-0.126	0.037	-0.201	-0.126	-0.054
mu_bc_H[12]	-0.247	0.108	-0.479	-0.245	-0.053
mu_bc_H[13]	-0.163	0.073	-0.302	-0.164	-0.017
mu_bc_H[14]	-0.307	0.090	-0.493	-0.305	-0.133
mu_bc_H[15]	-0.336	0.049	-0.432	-0.336	-0.242
mu_bc_H[16]	-0.152	0.384	-0.794	-0.184	0.724
mu_bc_R[1]	1.044	0.120	0.801	1.046	1.271
mu_bc_R[2]	1.009	0.077	0.852	1.009	1.156
mu_bc_R[3]	0.236	0.093	0.048	0.238	0.416
mu_bc_R[4]	0.674	0.196	0.277	0.679	1.049
mu_bc_R[5]	1.681	0.355	0.982	1.685	2.360
mu_bc_R[6]	-1.415	0.343	-2.062	-1.423	-0.718
mu_bc_R[7]	0.509	0.168	0.164	0.512	0.842
mu_bc_R[8]	0.652	0.143	0.374	0.650	0.943
mu_bc_R[9]	0.401	0.164	0.050	0.408	0.697
mu_bc_R[10]	0.902	0.102	0.697	0.904	1.099
mu_bc_R[11]	1.108	0.074	0.960	1.107	1.255
mu_bc_R[12]	0.881	0.161	0.567	0.880	1.200
mu_bc_R[13]	1.042	0.091	0.859	1.044	1.220
mu_bc_R[14]	0.867	0.121	0.624	0.867	1.095
mu_bc_R[15]	0.800	0.098	0.606	0.800	0.992
mu_bc_R[16]	1.359	0.115	1.133	1.359	1.582
tau_pH[1]	2.432	0.179	2.091	2.430	2.809
tau_pH[2]	1.635	0.157	1.336	1.635	1.950
tau_pH[3]	1.220	0.112	1.018	1.216	1.458
tau_pH[4]	1.109	0.149	0.847	1.102	1.430
tau_pH[5]	0.438	0.078	0.303	0.431	0.609
beta0_pH[1,1]	0.544	0.184	0.143	0.557	0.876
beta0_pH[2,1]	1.391	0.167	1.058	1.392	1.704
beta0_pH[3,1]	1.377	0.256	0.753	1.408	1.761
beta0_pH[4,1]	1.536	0.251	0.966	1.542	1.988
beta0_pH[5,1]	-0.763	0.373	-1.614	-0.729	-0.130
beta0_pH[6,1]	-0.515	0.479	-1.931	-0.388	0.065
beta0_pH[7,1]	0.759	0.011	0.739	0.759	0.780
beta0_pH[8,1]	-0.510	0.300	-1.143	-0.495	0.006
beta0_pH[9,1]	-0.305	0.269	-0.872	-0.287	0.181
beta0_pH[10,1]	0.280	0.196	-0.129	0.293	0.643
beta0_pH[11,1]	0.094	0.325	-0.563	0.116	0.672
beta0_pH[12,1]	0.609	0.191	0.213	0.610	0.970
beta0_pH[13,1]	-0.655	0.151	-0.985	-0.645	-0.390
beta0_pH[14,1]	0.020	0.173	-0.326	0.022	0.347
beta0_pH[15,1]	0.047	0.198	-0.392	0.063	0.384
beta0_pH[16,1]	-0.858	0.216	-1.311	-0.852	-0.453
beta0_pH[1,2]	2.565	0.084	2.408	2.563	2.728
beta0_pH[2,2]	3.079	0.022	3.037	3.078	3.122
beta0_pH[3,2]	3.626	0.041	3.549	3.625	3.709
beta0_pH[4,2]	2.936	0.019	2.898	2.936	2.975
beta0_pH[5,2]	4.518	1.462	2.761	4.223	7.960
beta0_pH[6,2]	3.326	0.156	3.028	3.325	3.650
beta0_pH[7,2]	2.034	0.051	1.936	2.033	2.133
beta0_pH[8,2]	2.824	0.066	2.694	2.824	2.959
beta0_pH[9,2]	3.950	0.212	3.554	3.940	4.394
beta0_pH[10,2]	3.994	0.125	3.755	3.990	4.252
beta0_pH[11,2]	1.885	0.009	1.868	1.885	1.903
beta0_pH[12,2]	1.793	0.067	1.663	1.793	1.926
beta0_pH[13,2]	2.496	0.026	2.445	2.496	2.549
beta0_pH[14,2]	1.804	0.024	1.759	1.804	1.850
beta0_pH[15,2]	2.545	0.017	2.511	2.545	2.579
beta0_pH[16,2]	2.766	0.025	2.716	2.765	2.814
beta0_pH[1,3]	1.106	0.365	0.208	1.169	1.663
beta0_pH[2,3]	2.127	0.017	2.094	2.126	2.161
beta0_pH[3,3]	2.692	0.024	2.645	2.692	2.740
beta0_pH[4,3]	2.980	0.035	2.914	2.980	3.048
beta0_pH[5,3]	3.325	2.205	0.836	2.786	8.983
beta0_pH[6,3]	1.349	0.370	0.697	1.324	2.165
beta0_pH[7,3]	0.861	0.050	0.764	0.860	0.957
beta0_pH[8,3]	0.248	0.294	-0.418	0.287	0.611
beta0_pH[9,3]	-2.075	1.008	-4.362	-1.964	-0.423
beta0_pH[10,3]	-0.411	0.794	-2.213	-0.318	0.898
beta0_pH[11,3]	1.112	0.526	0.073	1.148	2.035
beta0_pH[12,3]	0.949	0.654	-0.350	0.956	2.226
beta0_pH[13,3]	0.991	0.481	-0.009	1.021	1.897
beta0_pH[14,3]	0.562	0.446	-0.387	0.599	1.313
beta0_pH[15,3]	0.727	0.420	-0.126	0.748	1.463
beta0_pH[16,3]	1.174	0.629	-0.037	1.147	2.399
beta0_pH[11,4]	0.737	0.567	-0.765	0.800	1.633
beta0_pH[12,4]	0.722	0.668	-0.655	0.721	2.057
beta0_pH[13,4]	0.482	0.629	-1.128	0.585	1.450
beta0_pH[14,4]	0.302	0.469	-0.775	0.365	1.053
beta0_pH[15,4]	0.411	0.568	-1.088	0.517	1.239
beta0_pH[16,4]	0.708	0.535	-0.460	0.708	1.781
beta0_pH[11,5]	2.965	0.145	2.702	2.960	3.263
beta0_pH[12,5]	-0.905	0.509	-1.945	-0.893	0.045
beta0_pH[13,5]	4.880	0.408	4.134	4.862	5.723
beta0_pH[14,5]	3.888	0.358	3.249	3.875	4.638
beta0_pH[15,5]	2.284	0.123	2.064	2.279	2.534
beta0_pH[16,5]	0.266	0.069	0.168	0.254	0.430
beta1_pH[1,1]	2.577	0.470	1.829	2.527	3.688
beta1_pH[2,1]	1.622	0.296	1.082	1.607	2.246
beta1_pH[3,1]	1.815	0.432	1.124	1.769	2.853
beta1_pH[4,1]	2.000	0.512	1.212	1.924	3.361
beta1_pH[5,1]	2.282	0.477	1.493	2.233	3.387
beta1_pH[6,1]	2.078	0.794	1.045	1.866	4.236
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.324	0.877	1.176	2.090	4.614
beta1_pH[9,1]	1.972	0.578	1.190	1.860	3.619
beta1_pH[10,1]	2.113	0.341	1.508	2.085	2.853
beta1_pH[11,1]	3.315	0.541	2.368	3.258	4.531
beta1_pH[12,1]	2.928	0.285	2.376	2.927	3.493
beta1_pH[13,1]	3.452	0.249	3.001	3.441	3.979
beta1_pH[14,1]	2.845	0.322	2.236	2.840	3.502
beta1_pH[15,1]	2.410	0.288	1.898	2.393	3.022
beta1_pH[16,1]	4.006	0.303	3.419	3.999	4.622
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	1.938	1.157	0.088	1.810	4.982
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.760	2.489	0.964	4.210	11.108
beta1_pH[9,3]	7.176	2.574	3.281	6.756	13.251
beta1_pH[10,3]	6.308	2.515	2.686	5.852	12.012
beta1_pH[11,3]	2.181	0.575	1.073	2.167	3.313
beta1_pH[12,3]	3.266	0.677	2.020	3.240	4.661
beta1_pH[13,3]	2.000	0.516	0.991	1.978	3.070
beta1_pH[14,3]	2.229	0.501	1.348	2.197	3.271
beta1_pH[15,3]	2.097	0.484	1.212	2.075	3.077
beta1_pH[16,3]	3.702	0.682	2.355	3.728	5.003
beta1_pH[11,4]	2.071	0.613	1.008	2.030	3.536
beta1_pH[12,4]	3.321	0.684	1.979	3.304	4.770
beta1_pH[13,4]	1.526	0.638	0.486	1.434	3.090
beta1_pH[14,4]	2.086	0.536	1.156	2.021	3.266
beta1_pH[15,4]	1.610	0.599	0.667	1.531	3.122
beta1_pH[16,4]	3.757	0.623	2.476	3.768	5.106
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.221	0.824	0.333	0.927	3.324
beta2_pH[2,1]	1.634	0.933	0.339	1.462	3.419
beta2_pH[3,1]	1.362	0.848	0.200	1.208	2.926
beta2_pH[4,1]	0.952	0.733	0.184	0.702	2.866
beta2_pH[5,1]	2.139	2.209	0.298	1.537	7.969
beta2_pH[6,1]	1.185	1.963	0.120	0.510	6.945
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.976	1.646	0.144	0.414	6.007
beta2_pH[9,1]	1.179	1.676	0.173	0.630	6.278
beta2_pH[10,1]	1.434	1.762	0.320	0.855	6.979
beta2_pH[11,1]	0.459	0.337	0.179	0.369	1.214
beta2_pH[12,1]	1.553	0.820	0.619	1.285	3.658
beta2_pH[13,1]	1.022	0.428	0.548	0.915	2.199
beta2_pH[14,1]	1.117	0.670	0.425	0.917	3.182
beta2_pH[15,1]	1.045	0.626	0.380	0.876	2.933
beta2_pH[16,1]	1.062	0.338	0.631	1.003	1.875
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	6.929	6.452	0.195	5.592	22.410
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	1.530	1.374	0.142	1.086	5.505
beta2_pH[9,3]	0.303	0.567	0.091	0.208	0.985
beta2_pH[10,3]	0.455	0.738	0.115	0.276	2.119
beta2_pH[11,3]	-5.744	4.524	-18.081	-4.431	-0.688
beta2_pH[12,3]	-6.478	4.423	-18.063	-5.407	-1.141
beta2_pH[13,3]	-5.823	4.392	-17.849	-4.546	-1.036
beta2_pH[14,3]	-5.928	4.334	-18.249	-4.666	-1.227
beta2_pH[15,3]	-6.135	4.433	-17.849	-4.904	-1.028
beta2_pH[16,3]	-5.985	4.196	-17.328	-4.743	-1.446
beta2_pH[11,4]	-6.064	4.578	-17.749	-4.877	-0.726
beta2_pH[12,4]	-6.527	4.517	-17.763	-5.394	-1.125
beta2_pH[13,4]	-6.197	4.548	-18.094	-5.022	-0.852
beta2_pH[14,4]	-6.329	4.378	-17.532	-5.273	-1.108
beta2_pH[15,4]	-6.327	4.515	-17.918	-5.181	-0.946
beta2_pH[16,4]	-6.708	4.362	-18.349	-5.507	-1.562
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.914	1.087	32.844	34.926	37.206
beta3_pH[2,1]	32.502	1.376	29.900	32.489	35.235
beta3_pH[3,1]	32.898	1.518	29.593	32.907	36.146
beta3_pH[4,1]	32.763	1.968	29.565	32.582	37.426
beta3_pH[5,1]	27.659	1.167	26.018	27.493	30.989
beta3_pH[6,1]	32.971	3.380	25.497	33.045	40.749
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.871	3.830	29.192	36.199	42.551
beta3_pH[9,1]	31.965	2.624	27.786	31.618	39.100
beta3_pH[10,1]	32.487	1.233	30.155	32.454	35.077
beta3_pH[11,1]	31.370	1.109	29.318	31.382	33.498
beta3_pH[12,1]	30.775	0.465	29.822	30.801	31.654
beta3_pH[13,1]	31.412	0.535	30.429	31.398	32.526
beta3_pH[14,1]	32.564	0.758	31.285	32.514	34.147
beta3_pH[15,1]	30.943	0.753	29.416	30.957	32.389
beta3_pH[16,1]	30.130	0.371	29.395	30.138	30.853
beta3_pH[1,2]	34.430	5.516	25.539	34.394	43.549
beta3_pH[2,2]	34.571	5.444	25.508	34.712	43.486
beta3_pH[3,2]	30.511	7.200	18.570	30.461	42.338
beta3_pH[4,2]	30.473	7.182	18.586	30.489	42.269
beta3_pH[5,2]	30.422	7.209	18.638	30.307	42.415
beta3_pH[6,2]	30.489	7.150	18.607	30.487	42.354
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	38.383	3.265	30.669	39.730	42.717
beta3_pH[2,3]	34.609	5.453	25.570	34.713	43.599
beta3_pH[3,3]	30.397	7.173	18.672	30.180	42.267
beta3_pH[4,3]	30.443	7.234	18.540	30.433	42.319
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.028	1.342	38.391	42.059	43.908
beta3_pH[9,3]	36.154	1.920	34.529	35.427	41.722
beta3_pH[10,3]	37.842	2.475	34.650	37.167	43.347
beta3_pH[11,3]	40.709	1.048	38.941	40.698	42.657
beta3_pH[12,3]	42.036	0.702	40.366	42.264	42.835
beta3_pH[13,3]	41.402	0.709	40.008	41.420	42.782
beta3_pH[14,3]	40.460	0.665	39.138	40.459	41.734
beta3_pH[15,3]	40.633	0.658	39.122	40.652	41.925
beta3_pH[16,3]	41.856	0.388	41.036	41.907	42.621
beta3_pH[11,4]	40.704	1.034	38.980	40.598	42.996
beta3_pH[12,4]	41.971	0.740	40.344	42.210	42.904
beta3_pH[13,4]	42.027	1.072	39.858	42.116	43.805
beta3_pH[14,4]	40.491	0.681	39.075	40.508	41.754
beta3_pH[15,4]	41.375	1.012	39.527	41.277	43.390
beta3_pH[16,4]	41.536	0.368	40.923	41.522	42.287
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.263	0.021	0.223	0.263	0.304
beta4_pH[2,1]	0.211	0.005	0.201	0.211	0.221
beta4_pH[3,1]	0.173	0.007	0.158	0.173	0.186
beta4_pH[4,1]	0.294	0.011	0.271	0.294	0.316
beta4_pH[5,1]	0.420	0.269	0.084	0.389	0.912
beta4_pH[6,1]	0.775	0.468	0.333	0.724	1.447
beta4_pH[7,1]	0.868	0.348	0.362	0.809	1.692
beta4_pH[8,1]	0.159	0.069	0.045	0.150	0.309
beta4_pH[9,1]	0.214	0.086	0.062	0.209	0.394
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.447	0.012	0.425	0.447	0.471
beta4_pH[12,1]	0.641	0.022	0.598	0.640	0.685
beta4_pH[13,1]	0.631	0.013	0.606	0.632	0.658
beta4_pH[14,1]	0.670	0.030	0.613	0.669	0.731
beta4_pH[15,1]	0.797	0.021	0.755	0.797	0.838
beta4_pH[16,1]	1.221	0.042	1.144	1.219	1.309
beta4_pH[1,2]	0.306	0.094	0.140	0.300	0.508
beta4_pH[2,2]	0.513	0.022	0.470	0.512	0.557
beta4_pH[3,2]	0.446	0.012	0.423	0.445	0.469
beta4_pH[4,2]	0.654	0.038	0.580	0.654	0.732
beta4_pH[5,2]	0.733	0.883	0.109	0.540	2.561
beta4_pH[6,2]	0.933	0.928	0.197	0.745	2.667
beta4_pH[7,2]	0.888	0.402	0.354	0.816	1.849
beta4_pH[8,2]	0.844	0.203	0.469	0.837	1.271
beta4_pH[9,2]	1.164	1.131	0.308	0.873	3.842
beta4_pH[10,2]	0.456	0.050	0.358	0.457	0.557
beta4_pH[11,2]	1.270	0.051	1.173	1.269	1.372
beta4_pH[12,2]	0.580	0.108	0.386	0.573	0.805
beta4_pH[13,2]	0.943	0.043	0.864	0.943	1.029
beta4_pH[14,2]	0.929	0.063	0.808	0.929	1.056
beta4_pH[15,2]	1.011	0.025	0.961	1.011	1.061
beta4_pH[16,2]	1.405	0.075	1.263	1.405	1.556
beta4_pH[1,3]	0.286	0.088	0.130	0.282	0.462
beta4_pH[2,3]	0.052	0.017	0.021	0.051	0.086
beta4_pH[3,3]	0.052	0.010	0.033	0.052	0.071
beta4_pH[4,3]	0.172	0.032	0.110	0.172	0.236
beta4_pH[5,3]	0.744	0.708	0.123	0.562	2.654
beta4_pH[6,3]	0.902	0.967	0.203	0.717	2.710
beta4_pH[7,3]	0.900	0.456	0.358	0.818	1.981
beta4_pH[8,3]	0.420	0.199	0.113	0.394	0.886
beta4_pH[9,3]	0.943	0.942	0.173	0.707	3.035
beta4_pH[10,3]	0.061	0.041	0.003	0.055	0.154
beta4_pH[11,3]	0.363	0.016	0.333	0.363	0.394
beta4_pH[12,3]	0.440	0.042	0.360	0.439	0.527
beta4_pH[13,3]	0.838	0.037	0.765	0.838	0.914
beta4_pH[14,3]	0.823	0.066	0.700	0.821	0.960
beta4_pH[15,3]	0.635	0.017	0.603	0.635	0.668
beta4_pH[16,3]	0.637	0.036	0.569	0.635	0.708
beta4_pH[1,4]	0.628	0.328	0.209	0.563	1.412
beta4_pH[2,4]	0.802	0.792	0.113	0.588	2.835
beta4_pH[3,4]	0.846	0.880	0.113	0.594	3.148
beta4_pH[4,4]	0.732	0.474	0.218	0.629	1.814
beta4_pH[5,4]	0.770	0.826	0.118	0.559	2.763
beta4_pH[6,4]	0.946	1.028	0.215	0.736	2.914
beta4_pH[7,4]	0.881	0.401	0.353	0.815	1.821
beta4_pH[8,4]	0.723	0.587	0.159	0.594	2.096
beta4_pH[9,4]	0.795	0.949	0.122	0.576	2.743
beta4_pH[10,4]	1.519	3.112	0.006	0.392	11.974
beta4_pH[11,4]	0.444	0.017	0.411	0.444	0.478
beta4_pH[12,4]	0.555	0.053	0.457	0.554	0.663
beta4_pH[13,4]	0.925	0.036	0.853	0.925	0.997
beta4_pH[14,4]	0.917	0.075	0.778	0.915	1.074
beta4_pH[15,4]	0.714	0.020	0.676	0.713	0.755
beta4_pH[16,4]	0.685	0.041	0.609	0.683	0.766
beta4_pH[1,5]	0.629	0.332	0.206	0.564	1.423
beta4_pH[2,5]	0.826	1.026	0.114	0.593	2.852
beta4_pH[3,5]	0.875	0.984	0.115	0.612	3.501
beta4_pH[4,5]	0.734	0.465	0.209	0.628	1.914
beta4_pH[5,5]	0.737	0.759	0.104	0.566	2.372
beta4_pH[6,5]	0.908	0.716	0.216	0.737	2.708
beta4_pH[7,5]	0.894	0.505	0.346	0.813	1.893
beta4_pH[8,5]	0.751	0.743	0.151	0.590	2.299
beta4_pH[9,5]	0.778	0.881	0.122	0.579	2.731
beta4_pH[10,5]	1.536	3.217	0.007	0.392	12.349
beta4_pH[11,5]	0.603	0.051	0.508	0.601	0.709
beta4_pH[12,5]	0.587	0.171	0.307	0.566	0.968
beta4_pH[13,5]	0.776	0.062	0.661	0.774	0.903
beta4_pH[14,5]	0.840	0.115	0.631	0.832	1.078
beta4_pH[15,5]	1.144	0.073	1.011	1.144	1.296
beta4_pH[16,5]	17.919	4.039	9.965	18.068	24.603
beta0_pelagic[1]	2.266	0.036	2.199	2.266	2.341
beta0_pelagic[2]	1.538	0.007	1.524	1.538	1.552
beta0_pelagic[3]	0.210	0.262	-0.536	0.272	0.569
beta0_pelagic[4]	0.232	0.217	-0.292	0.249	0.605
beta0_pelagic[5]	1.452	0.156	1.154	1.451	1.762
beta0_pelagic[6]	1.353	0.059	1.240	1.352	1.472
beta0_pelagic[7]	1.483	0.038	1.413	1.482	1.559
beta0_pelagic[8]	1.673	0.042	1.594	1.673	1.759
beta0_pelagic[9]	2.795	0.065	2.671	2.794	2.926
beta0_pelagic[10]	2.603	0.031	2.545	2.603	2.667
beta0_pelagic[11]	-0.165	0.160	-0.542	-0.148	0.105
beta0_pelagic[12]	1.802	0.035	1.735	1.801	1.874
beta0_pelagic[13]	-0.833	0.464	-1.682	-0.812	-0.001
beta0_pelagic[14]	-0.275	0.170	-0.641	-0.263	0.027
beta0_pelagic[15]	-0.208	0.034	-0.299	-0.195	-0.181
beta0_pelagic[16]	-0.584	0.393	-1.463	-0.525	-0.007
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.735	0.284	0.305	0.692	1.544
beta1_pelagic[4]	0.815	0.246	0.391	0.798	1.414
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.181	0.224	0.810	1.161	1.705
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	2.596	0.529	1.454	2.629	3.445
beta1_pelagic[14]	1.758	0.416	1.117	1.684	2.800
beta1_pelagic[15]	0.079	0.146	0.000	0.012	0.566
beta1_pelagic[16]	1.777	0.581	0.867	1.713	2.953
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.596	6.088	0.223	5.027	21.132
beta2_pelagic[4]	7.696	5.929	0.366	6.492	21.586
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.799	1.585	0.294	1.249	6.237
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.196	0.090	0.106	0.173	0.424
beta2_pelagic[14]	0.882	0.854	0.221	0.605	3.387
beta2_pelagic[15]	2.643	1.882	0.174	2.276	7.063
beta2_pelagic[16]	0.565	0.837	0.115	0.286	3.366
beta3_pelagic[1]	28.747	3.842	22.396	28.655	35.109
beta3_pelagic[2]	28.741	3.906	22.294	28.786	35.128
beta3_pelagic[3]	27.940	2.695	23.138	28.383	32.104
beta3_pelagic[4]	26.099	1.214	23.217	26.304	28.468
beta3_pelagic[5]	29.459	6.750	18.673	29.217	40.536
beta3_pelagic[6]	29.696	6.657	18.584	29.859	40.515
beta3_pelagic[7]	29.652	6.729	18.558	29.693	40.519
beta3_pelagic[8]	29.395	6.589	18.477	29.383	40.302
beta3_pelagic[9]	29.631	6.627	18.534	29.718	40.449
beta3_pelagic[10]	29.345	6.675	18.500	29.244	40.449
beta3_pelagic[11]	30.015	1.185	27.793	29.947	32.491
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	31.843	4.165	24.861	31.539	40.019
beta3_pelagic[14]	34.174	1.587	31.558	33.987	37.877
beta3_pelagic[15]	33.959	5.636	23.728	34.685	41.684
beta3_pelagic[16]	31.009	2.907	25.298	30.946	37.453
beta0_yellow[1]	-0.482	0.080	-0.636	-0.483	-0.328
beta0_yellow[2]	0.540	0.084	0.348	0.548	0.683
beta0_yellow[3]	-0.208	0.129	-0.457	-0.213	0.016
beta0_yellow[4]	0.889	0.264	0.104	0.964	1.190
beta0_yellow[5]	0.254	0.324	-0.439	0.282	0.834
beta0_yellow[6]	0.819	0.106	0.618	0.816	1.029
beta0_yellow[7]	0.998	0.094	0.818	0.997	1.184
beta0_yellow[8]	1.026	0.094	0.845	1.024	1.212
beta0_yellow[9]	0.461	0.098	0.266	0.463	0.652
beta0_yellow[10]	0.536	0.068	0.402	0.537	0.673
beta0_yellow[11]	-0.198	0.128	-0.485	-0.188	0.027
beta0_yellow[12]	-1.081	0.092	-1.266	-1.079	-0.901
beta0_yellow[13]	-1.352	0.169	-1.732	-1.344	-1.059
beta0_yellow[14]	-0.251	0.153	-0.585	-0.232	-0.003
beta0_yellow[15]	-1.250	0.134	-1.569	-1.234	-1.031
beta0_yellow[16]	-0.252	0.093	-0.437	-0.252	-0.071
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.010	0.235	0.562	1.006	1.477
beta1_yellow[3]	0.465	0.246	0.019	0.478	0.929
beta1_yellow[4]	1.321	0.598	0.624	1.170	3.206
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.309	0.395	0.001	0.117	1.267
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	1.101	1.115	0.022	0.785	4.577
beta1_yellow[14]	0.718	1.018	0.013	0.423	4.151
beta1_yellow[15]	0.163	0.200	0.011	0.080	0.680
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.472	5.703	-21.226	-6.271	-0.470
beta2_yellow[3]	-7.870	5.872	-21.917	-6.543	-0.444
beta2_yellow[4]	-5.748	5.901	-20.255	-3.806	-0.119
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.804	5.210	-20.927	-7.106	-0.608
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-5.996	5.391	-19.862	-4.438	-0.311
beta2_yellow[14]	-7.048	5.580	-20.745	-5.857	-0.382
beta2_yellow[15]	-6.996	5.049	-18.958	-6.075	-0.427
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.938	1.190	27.376	28.700	32.365
beta3_yellow[3]	32.373	3.372	23.182	32.586	38.686
beta3_yellow[4]	30.026	3.324	24.088	28.844	35.889
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	34.514	3.421	29.688	33.679	42.153
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	33.622	2.755	29.263	33.671	40.182
beta3_yellow[14]	33.978	3.649	29.189	33.452	43.035
beta3_yellow[15]	36.492	3.833	30.374	36.341	43.469
beta3_yellow[16]	25.000	0.000	25.000	25.000	25.000
beta0_black[1]	0.009	0.075	-0.137	0.007	0.151
beta0_black[2]	1.854	0.032	1.791	1.854	1.918
beta0_black[3]	1.240	0.037	1.168	1.240	1.312
beta0_black[4]	2.423	0.047	2.334	2.423	2.519
beta0_black[5]	5.262	2.487	1.850	4.797	11.496
beta0_black[6]	5.292	2.169	2.670	4.748	10.918
beta0_black[7]	4.094	2.073	1.578	3.557	9.709
beta0_black[8]	0.882	0.216	0.471	0.880	1.331
beta0_black[9]	2.816	0.276	2.300	2.810	3.377
beta0_black[10]	1.285	0.051	1.187	1.285	1.387
beta0_black[11]	2.977	0.051	2.877	2.977	3.078
beta0_black[12]	4.917	0.187	4.553	4.919	5.278
beta0_black[13]	0.438	0.335	0.017	0.357	1.225
beta0_black[14]	2.853	0.104	2.656	2.853	3.056
beta0_black[15]	0.722	0.052	0.620	0.722	0.822
beta0_black[16]	3.773	0.073	3.628	3.771	3.920
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.514	1.798	-7.071	-2.078	-0.285
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.345	3.307	27.209	38.125	40.990
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.325	0.091	-0.501	-0.324	-0.149
beta4_black[2]	0.257	0.052	0.153	0.257	0.361
beta4_black[3]	-0.719	0.063	-0.844	-0.718	-0.594
beta4_black[4]	0.626	0.132	0.373	0.623	0.892
beta4_black[5]	0.753	1.450	-1.308	0.479	4.491
beta4_black[6]	0.857	1.543	-0.981	0.528	4.584
beta4_black[7]	0.815	1.519	-0.969	0.518	4.227
beta4_black[8]	0.087	0.282	-0.509	0.095	0.602
beta4_black[9]	1.048	0.838	-0.107	0.875	3.206
beta4_black[10]	0.075	0.066	-0.054	0.075	0.203
beta4_black[11]	-0.608	0.065	-0.732	-0.610	-0.478
beta4_black[12]	1.230	0.288	0.679	1.222	1.824
beta4_black[13]	-1.002	0.077	-1.158	-0.999	-0.853
beta4_black[14]	0.219	0.178	-0.119	0.215	0.578
beta4_black[15]	0.002	0.046	-0.089	0.003	0.093
beta4_black[16]	-0.412	0.117	-0.644	-0.411	-0.183
beta0_dsr[11]	-0.329	0.010	-0.347	-0.328	-0.310
beta0_dsr[12]	1.409	0.044	1.322	1.410	1.492
beta0_dsr[13]	0.155	0.021	0.113	0.155	0.196
beta0_dsr[14]	-0.127	0.017	-0.161	-0.127	-0.094
beta0_dsr[15]	0.205	0.013	0.179	0.205	0.231
beta0_dsr[16]	0.165	0.016	0.133	0.164	0.196
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.544	0.035	0.476	0.544	0.613
beta4_dsr[12]	0.794	0.223	0.382	0.789	1.254
beta4_dsr[13]	-0.078	0.040	-0.156	-0.078	0.000
beta4_dsr[14]	-0.206	0.071	-0.349	-0.207	-0.066
beta4_dsr[15]	0.216	0.021	0.175	0.216	0.258
beta4_dsr[16]	-0.055	0.045	-0.143	-0.054	0.035
beta0_slope[11]	-2.209	0.021	-2.252	-2.209	-2.168
beta0_slope[12]	-4.987	0.187	-5.377	-4.985	-4.635
beta0_slope[13]	-1.502	0.034	-1.568	-1.501	-1.434
beta0_slope[14]	-2.712	0.050	-2.808	-2.711	-2.615
beta0_slope[15]	-1.592	0.022	-1.635	-1.593	-1.550
beta0_slope[16]	-2.657	0.038	-2.731	-2.657	-2.581
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.333	0.074	-0.484	-0.332	-0.189
beta4_slope[12]	-4.684	0.789	-6.345	-4.637	-3.252
beta4_slope[13]	0.328	0.053	0.225	0.329	0.433
beta4_slope[14]	-0.159	0.151	-0.466	-0.155	0.129
beta4_slope[15]	-0.359	0.033	-0.424	-0.359	-0.295
beta4_slope[16]	-0.137	0.102	-0.329	-0.136	0.063
beta5_slope[11]	3.065	0.108	2.860	3.063	3.289
beta5_slope[12]	2.006	0.388	1.279	1.994	2.807
beta5_slope[13]	0.879	0.080	0.721	0.877	1.034
beta5_slope[14]	3.743	0.354	3.091	3.730	4.471
beta5_slope[15]	1.308	0.073	1.173	1.307	1.456
beta5_slope[16]	2.718	0.236	2.288	2.713	3.192
tau_comp[1]	3.808	0.294	3.264	3.801	4.407
tau_comp[2]	2.857	0.253	2.376	2.846	3.381
tau_comp[3]	0.873	0.074	0.740	0.870	1.026
tau_comp[4]	1.782	0.273	1.315	1.761	2.348
tau_comp[5]	1.288	0.187	0.956	1.277	1.683
sigma_H[1]	0.207	0.049	0.123	0.205	0.314
sigma_H[2]	0.174	0.029	0.127	0.171	0.239
sigma_H[3]	0.187	0.040	0.115	0.184	0.274
sigma_H[4]	0.461	0.079	0.325	0.453	0.643
sigma_H[5]	0.958	0.201	0.591	0.949	1.375
sigma_H[6]	0.537	0.199	0.139	0.531	0.948
sigma_H[7]	0.311	0.063	0.212	0.302	0.453
sigma_H[8]	0.421	0.089	0.284	0.408	0.613
sigma_H[9]	0.510	0.114	0.330	0.494	0.762
sigma_H[10]	0.212	0.038	0.147	0.208	0.297
sigma_H[11]	0.265	0.043	0.191	0.261	0.361
sigma_H[12]	0.380	0.147	0.200	0.335	0.729
sigma_H[13]	0.218	0.036	0.157	0.215	0.297
sigma_H[14]	0.497	0.087	0.347	0.491	0.682
sigma_H[15]	0.230	0.037	0.166	0.227	0.310
sigma_H[16]	0.215	0.039	0.148	0.210	0.304
lambda_H[1]	2.187	3.432	0.075	1.003	11.711
lambda_H[2]	5.324	5.074	0.498	3.827	19.283
lambda_H[3]	5.476	8.207	0.300	2.848	27.386
lambda_H[4]	0.006	0.005	0.001	0.005	0.019
lambda_H[5]	2.805	7.399	0.029	0.660	21.269
lambda_H[6]	6.698	14.266	0.008	0.439	48.453
lambda_H[7]	0.012	0.009	0.002	0.010	0.033
lambda_H[8]	7.391	9.914	0.041	3.842	34.176
lambda_H[9]	0.015	0.010	0.003	0.013	0.041
lambda_H[10]	0.233	0.447	0.023	0.154	0.848
lambda_H[11]	0.223	0.350	0.010	0.099	1.111
lambda_H[12]	3.766	5.010	0.169	2.133	17.755
lambda_H[13]	3.165	2.932	0.263	2.315	10.782
lambda_H[14]	3.312	3.933	0.204	2.172	13.004
lambda_H[15]	0.018	0.019	0.003	0.014	0.061
lambda_H[16]	0.551	0.953	0.033	0.265	2.923
mu_lambda_H[1]	4.126	1.925	1.066	3.925	8.362
mu_lambda_H[2]	3.627	1.951	0.533	3.437	7.783
mu_lambda_H[3]	3.350	1.845	0.726	3.030	7.480
sigma_lambda_H[1]	8.260	4.435	1.734	7.602	18.243
sigma_lambda_H[2]	8.012	4.711	0.819	7.412	18.064
sigma_lambda_H[3]	6.155	4.031	0.958	5.144	16.043
beta_H[1,1]	6.475	1.371	3.089	6.702	8.465
beta_H[2,1]	9.753	0.611	8.459	9.788	10.818
beta_H[3,1]	7.853	0.753	6.111	7.924	9.103
beta_H[4,1]	10.665	7.648	-5.155	10.832	25.259
beta_H[5,1]	-0.269	2.600	-5.605	-0.086	4.219
beta_H[6,1]	3.308	4.240	-7.235	4.864	8.354
beta_H[7,1]	1.170	5.691	-11.193	1.487	11.506
beta_H[8,1]	1.440	4.332	-2.441	1.182	3.865
beta_H[9,1]	13.660	5.531	2.909	13.496	24.939
beta_H[10,1]	6.796	1.814	3.195	6.877	10.353
beta_H[11,1]	4.828	3.541	-2.877	5.351	10.003
beta_H[12,1]	2.583	1.087	0.728	2.511	4.855
beta_H[13,1]	9.098	0.879	7.230	9.170	10.542
beta_H[14,1]	2.131	1.004	0.113	2.121	4.147
beta_H[15,1]	-7.046	3.319	-13.180	-7.181	0.009
beta_H[16,1]	3.849	2.899	-0.771	3.510	10.689
beta_H[1,2]	7.778	0.276	7.231	7.791	8.298
beta_H[2,2]	9.888	0.169	9.545	9.889	10.207
beta_H[3,2]	8.802	0.198	8.400	8.800	9.190
beta_H[4,2]	3.035	1.407	0.367	2.999	5.883
beta_H[5,2]	1.745	0.989	-0.239	1.713	3.615
beta_H[6,2]	6.042	1.101	3.538	6.224	7.765
beta_H[7,2]	2.427	1.070	0.488	2.381	4.726
beta_H[8,2]	2.945	1.207	0.887	3.121	4.220
beta_H[9,2]	3.134	1.073	1.089	3.128	5.262
beta_H[10,2]	8.028	0.373	7.215	8.045	8.729
beta_H[11,2]	9.834	0.640	8.835	9.740	11.224
beta_H[12,2]	3.929	0.384	3.202	3.918	4.693
beta_H[13,2]	9.153	0.241	8.713	9.148	9.630
beta_H[14,2]	4.016	0.336	3.371	4.017	4.704
beta_H[15,2]	11.546	0.597	10.318	11.568	12.652
beta_H[16,2]	4.477	0.802	3.011	4.459	6.130
beta_H[1,3]	8.457	0.267	7.970	8.445	8.999
beta_H[2,3]	9.873	0.145	9.588	9.871	10.173
beta_H[3,3]	9.470	0.164	9.160	9.470	9.805
beta_H[4,3]	-2.170	0.863	-3.940	-2.149	-0.530
beta_H[5,3]	3.878	0.591	2.677	3.880	5.010
beta_H[6,3]	8.334	1.202	6.687	7.969	10.949
beta_H[7,3]	-2.587	0.642	-3.943	-2.581	-1.357
beta_H[8,3]	5.335	0.590	4.687	5.235	6.684
beta_H[9,3]	-2.665	0.689	-4.040	-2.653	-1.392
beta_H[10,3]	8.563	0.276	8.046	8.553	9.133
beta_H[11,3]	8.503	0.295	7.876	8.523	9.018
beta_H[12,3]	5.269	0.327	4.541	5.312	5.828
beta_H[13,3]	8.861	0.175	8.514	8.870	9.198
beta_H[14,3]	5.785	0.267	5.195	5.806	6.257
beta_H[15,3]	10.282	0.288	9.742	10.279	10.871
beta_H[16,3]	5.965	0.610	4.698	5.994	7.077
beta_H[1,4]	8.097	0.186	7.713	8.100	8.443
beta_H[2,4]	9.861	0.128	9.593	9.869	10.103
beta_H[3,4]	9.971	0.154	9.640	9.979	10.244
beta_H[4,4]	11.812	0.471	10.872	11.810	12.722
beta_H[5,4]	5.581	0.734	4.398	5.501	7.249
beta_H[6,4]	7.205	0.904	5.309	7.430	8.488
beta_H[7,4]	8.549	0.354	7.839	8.558	9.231
beta_H[8,4]	6.707	0.275	6.135	6.728	7.129
beta_H[9,4]	7.420	0.448	6.561	7.410	8.356
beta_H[10,4]	7.524	0.230	7.075	7.514	7.988
beta_H[11,4]	9.504	0.195	9.139	9.502	9.915
beta_H[12,4]	7.249	0.198	6.866	7.247	7.664
beta_H[13,4]	9.070	0.138	8.796	9.074	9.328
beta_H[14,4]	7.837	0.212	7.426	7.832	8.256
beta_H[15,4]	9.468	0.217	9.059	9.469	9.895
beta_H[16,4]	9.419	0.243	8.967	9.414	9.892
beta_H[1,5]	8.896	0.158	8.567	8.902	9.184
beta_H[2,5]	10.678	0.100	10.490	10.673	10.886
beta_H[3,5]	10.767	0.159	10.479	10.762	11.089
beta_H[4,5]	8.351	0.501	7.386	8.343	9.385
beta_H[5,5]	5.193	0.608	3.695	5.274	6.193
beta_H[6,5]	8.928	0.637	7.971	8.801	10.371
beta_H[7,5]	6.571	0.351	5.893	6.563	7.300
beta_H[8,5]	8.250	0.229	7.907	8.226	8.710
beta_H[9,5]	8.195	0.442	7.307	8.193	9.060
beta_H[10,5]	10.035	0.227	9.591	10.032	10.474
beta_H[11,5]	11.602	0.226	11.166	11.598	12.067
beta_H[12,5]	8.604	0.186	8.222	8.602	8.971
beta_H[13,5]	10.141	0.133	9.888	10.136	10.409
beta_H[14,5]	9.242	0.218	8.836	9.236	9.688
beta_H[15,5]	11.317	0.232	10.854	11.322	11.763
beta_H[16,5]	9.838	0.188	9.466	9.842	10.192
beta_H[1,6]	10.127	0.247	9.738	10.087	10.726
beta_H[2,6]	11.469	0.113	11.246	11.468	11.693
beta_H[3,6]	10.615	0.159	10.273	10.623	10.912
beta_H[4,6]	12.928	0.881	11.176	12.951	14.572
beta_H[5,6]	5.673	0.627	4.539	5.648	6.990
beta_H[6,6]	8.721	0.559	7.446	8.755	9.736
beta_H[7,6]	10.560	0.599	9.362	10.577	11.710
beta_H[8,6]	9.517	0.287	8.976	9.538	9.978
beta_H[9,6]	8.268	0.751	6.823	8.257	9.830
beta_H[10,6]	9.150	0.342	8.419	9.174	9.740
beta_H[11,6]	10.687	0.368	9.903	10.718	11.333
beta_H[12,6]	9.375	0.237	8.954	9.358	9.870
beta_H[13,6]	11.094	0.158	10.794	11.087	11.425
beta_H[14,6]	9.916	0.278	9.333	9.924	10.433
beta_H[15,6]	10.551	0.414	9.743	10.552	11.371
beta_H[16,6]	10.598	0.259	10.045	10.610	11.094
beta_H[1,7]	10.113	1.282	6.903	10.423	11.824
beta_H[2,7]	12.108	0.513	10.979	12.135	13.061
beta_H[3,7]	10.268	0.672	8.782	10.339	11.371
beta_H[4,7]	1.305	4.499	-7.362	1.279	10.626
beta_H[5,7]	5.871	1.988	1.997	5.933	9.845
beta_H[6,7]	7.198	3.182	-0.944	8.362	11.039
beta_H[7,7]	7.634	3.046	1.705	7.650	13.745
beta_H[8,7]	10.911	1.102	9.155	10.894	12.749
beta_H[9,7]	5.070	3.900	-2.614	5.051	12.742
beta_H[10,7]	9.992	1.621	7.062	9.847	13.489
beta_H[11,7]	11.376	1.807	8.237	11.174	15.393
beta_H[12,7]	9.776	0.986	7.553	9.857	11.449
beta_H[13,7]	11.721	0.720	10.048	11.794	12.920
beta_H[14,7]	10.646	0.915	8.732	10.668	12.368
beta_H[15,7]	13.949	2.183	9.687	13.957	18.318
beta_H[16,7]	12.807	1.394	10.359	12.654	15.906
beta0_H[1]	9.004	18.415	-27.598	8.992	46.796
beta0_H[2]	10.274	7.997	-6.558	10.199	26.334
beta0_H[3]	9.248	9.611	-11.443	9.320	28.395
beta0_H[4]	6.726	183.633	-364.760	10.190	361.570
beta0_H[5]	3.367	27.012	-53.826	4.186	56.229
beta0_H[6]	7.466	51.416	-110.292	7.744	122.317
beta0_H[7]	4.313	141.035	-261.517	4.743	290.653
beta0_H[8]	6.129	31.125	-22.341	6.327	35.134
beta0_H[9]	8.763	117.271	-223.323	7.429	244.529
beta0_H[10]	8.999	37.464	-65.352	8.742	86.207
beta0_H[11]	9.892	52.166	-93.342	10.149	121.420
beta0_H[12]	6.415	12.797	-18.955	6.672	29.703
beta0_H[13]	9.791	13.048	-11.921	9.875	32.673
beta0_H[14]	7.120	11.743	-16.856	7.012	31.803
beta0_H[15]	9.560	113.440	-219.703	11.090	228.993
beta0_H[16]	8.272	30.581	-53.495	7.719	70.437

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025